Construction and Application of Internal Medicine Teaching Interactive Course Based on 5-Star Instructional Model

Fang, Qiong

doi:10.3991/ijet.v14i03.10102

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…However, translation is more than just a matter of language; it also involves nonlinguistic factors like culture. As a result, the literature [19] defines translation as "a communication process and tool designed to promote the target language's sociopolitical, economic, or cultural development; its task is to completely transfer the logic and artistic reflection of reality in the source language to the target language." Translation is an important tool for people to communicate and spread cultural knowledge and a tool for social development.…”

Section: Related Workmentioning

confidence: 99%

Construction of “Interactive” English Translation Teaching Model Based on Data-Driven Learning

Huang

2022

Wireless Communications and Mobile Computing

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With the growth of international trade, there is a greater demand for people with a diverse professional background and a high level of foreign language translation skills. This thesis covers the fundamental concepts and evolution of data-driven learning, well-known data-driven learning systems, common statistical parameters and analytical statistical methods of data-driven learning, and commonly used data-driven learning indexing software and its basic functions. A basic knowledge outline and data-driven learning thinking method are provided. Although English translation is widely used, there are still many flaws in professional training. In response to the current situation in which college English translation teaching is difficult to adapt to new requirements of college English teaching and talent training, it is proposed to combine multimedia technology and corpus, as well as support constructivist learning theory, data-driven learning theory, and autonomous learning theory, to create a “data-driven Learning (DLL) college English translation teaching model,” beginning with the teaching materials, teaching objectives, and a “data-driven Learning (DLL) college English translation teaching model,” starting from the teaching materials, teaching the impact of the model on college students’ translation learning. The results of the experiments show that this mode is associated with a significant improvement in students’ translation learning abilities. This model is shown to be effective when used in college English translation classes.

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Section: Related Workmentioning

confidence: 99%

Construction of “Interactive” English Translation Teaching Model Based on Data-Driven Learning

Huang

2022

Wireless Communications and Mobile Computing

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“…Zhou, W. developed a local music teaching materials system (TMs) based on the concept of deep learning for classroom teaching, which greatly improved the effectiveness of teaching [15]. Fang, Q. et al investigated the teaching mode of the smartphone CIRS course carried out on the basis of the five-star teaching model and pointed out that the information-sized teaching mode effectively improved the students' performance and gained a high degree of acceptance by the students [16]. Li C. et al elaborated on the development trend of information education and also proposed an educational cloud system based on the RDP framework, aiming to bring more learning resources to a wide range of students.…”

Section: Introductionmentioning

confidence: 99%

Exploration of Informatization Teaching Mode of College Music Courses in the Context of Traditional Music Culture

Yang

2024

Applied Mathematics and Nonlinear Sciences

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This paper discusses the implementation of informatization strategies in music teaching in colleges and universities, mainly through constructing an online teaching platform, using Bayesian nonparametric models and extreme gradient boosting algorithms to optimize the teaching process by classifying music and recommender systems. The study collected students’ specific information and learning styles, and found that most students solved problems by searching for tutorial books and consulting their classmates, and less often used online resources. The online teaching platform generated feedback reports based on the number of interactions, engagement and attendance. Classroom activities focused mainly on interaction and discussion in the first 15 minutes, while whole-class quizzes were conducted in the 18 to 30 and 40 to 50 minute segments. Finally, the teaching practice was evaluated through a questionnaire, and the results showed that the p-values of the five dimensions of aesthetic perception, artistic performance, cultural understanding, interactive learning and interest inquiry were significantly less than 0.001, indicating that the implementation of informative teaching strategies enormously helped to enhance students’ learning outcomes.

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“…Combined with the use of scenarios, many researchers put forward related design and implementation. Literature [3] proposed a college teaching management system based on biometric recognition and Internet of ings technology. e system includes an ARM9-S3C2440 development board, fingerprint sensor, and SQLite database.…”

Section: Introductionmentioning

confidence: 99%

Construction and Application of Automatic Attendance Prediction System for Classroom Education Teaching Based on Random Matrix Theory

Liu¹,

Pan²

2022

Mathematical Problems in Engineering

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Random matrix theory, as a theoretical tool for statistical processing of complex systems and high-dimensional data, has been more and more combined with big data technology and applied to automatic attendance prediction analysis of classroom education. Firstly, the basic definition of the random matrix is introduced. Secondly, the single ring theorem of the random matrix is introduced. Based on this, the random matrix model of data is established. However, few undergraduate or graduate students in physics have been exposed to this theory. By introducing the basic concept of random matrix theory, this paper analyzes the necessity and feasibility of introducing random matrix theory into automatic attendance prediction teaching in classroom education. As a biometrics technology, random matrix theory technology has been widely used in various fields of the identity verification system, and classroom attendance system is an important field of random matrix theory technology application. The traditional random matrix theory class attendance has the problem of slow recognition speed and low accuracy. With the popularity of deep learning, the random matrix theory based on deep learning has gradually replaced the traditional random matrix theory. In this paper, the SSD target detection algorithm, NB algorithm, and RF algorithm based on deep learning are used to improve and optimize the traditional random matrix theory class attendance system, which effectively improves the efficiency and accuracy of random matrix theory attendance. Then, aiming at the low recall rate and recognition rate of random matrix theory in low-pixel images, we try to apply the random matrix theory of single image resolution reconstruction method to face detection and random matrix theory and give a calculation method to deal with outliers and noise.

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Construction and Application of Internal Medicine Teaching Interactive Course Based on 5-Star Instructional Model

Cited by 4 publications

References 8 publications

Construction of “Interactive” English Translation Teaching Model Based on Data-Driven Learning

Construction of “Interactive” English Translation Teaching Model Based on Data-Driven Learning

Exploration of Informatization Teaching Mode of College Music Courses in the Context of Traditional Music Culture

Construction and Application of Automatic Attendance Prediction System for Classroom Education Teaching Based on Random Matrix Theory

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